Sandboxing is a security feature that can be used in antimalware to isolate potentially malicious files from the rest of the system. It is sometimes powered by machine learning algorithms. Behavior-based malware detection is designed to replace signature-based malware detection. Behavior-based malware detection works by identifying malicious software by examining how it behaves rather than what it looks like. Behavior-based malware detectionīehavior-based malware detection helps computer security professionals more quickly identify, block and eradicate malware by using an active approach to malware analysis. This approach is useful for common types of malware, such as keyloggers and adware, which share many of the same characteristics. The signatures are used to identify previously identified malicious software of the same type and to flag the new software as malware. Software vendors develop signatures to detect specific malicious software. Signature-based malware detection uses a set of known software components and their digital signatures to identify new malicious software. How antimalware worksĪntimalware software uses three strategies to protect systems from malicious software: signature-based detection, behavior-based detection and sandboxing. A Trojan horse appears to be something benign, such as a game or a screen saver, but it actually contains code that causes damage to the computer or enables the author to access the user's data.

A worm is similar to a virus, except that it doesn't need to infect other programs on a computer to spread.

A virus is a piece of software that duplicates itself and spreads from one computer to another. The three most common types of malware mentioned above are viruses, worms and Trojan horses.

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